The Canadian government is currently reviewing grain transportation legisla
tion to determine whether an elimination of the rail rate cap for western g
rain is a desirable option. In this paper, a spatial optimization model is
constructed and calibrated for the province of Saskatchewan. The purpose is
to compare current rates with simulated rates in an unregulated environmen
t where Canada's two railways freely compete. In the Nash equilibrium of th
e unregulated pricing game, average rail rates range from 4% higher to 25%
higher than the current average rate, depending on the assumed value for th
e trucking cost parameter. Reductions in railway variable operating cost be
cause of productivity gains associated with further deregulation will dampe
n and possible reverse these predicted rate increases. However, any form of
collusive behavior between the two railways would serve to increase the ov
erall rate markup.